Simultaneous Intelligent Anticipation and Control of Follower Vehicle Observing Exiting Lane Changer

Abstract

Despite the advances related to car-following and lane-changing behaviors, the influence of lane-changing on the car-following models, which results in a complex transient merging behavior, has not comprehensively been investigated. This paper presents a novel fuzzy controller based on a human factor to optimize the Follower Vehicle (FV) behavior subject to safety, comfort, and convenient traveled time in the complex behavior where the Lane Changer (LC) vehicle exits the temporary lane. The factor enables the controller to mimic the current driver behavior in terms of maximum pleasantness of drive. Accordingly, the data of real-life experiments were used to design the human-like fuzzy controller, to build a predictive model to suggest the appropriate acceleration, velocity, and travel distance. At best, the correlation coefficient of 0.93 and the Root Mean Square Error (RMSE) of 0.71 were achieved for modeling using the adaptive Neuro-Fuzzy Inference System (ANFIS) utilizing Gaussian function as a membership function. Furthermore, to evaluate the robustness of the controller to uncertainties and unknown disturbances for real-time driving experiments, a test-bed was fabricated to mount the feedback sensors, including vision, accelerometer, and distance measurement sensors. The results of running the controller in various driving scenarios showed 70% and 38% improvements in safety and ride comfort, respectively. The proposed intelligent controller is intended to be used for vehicle route guidance and on urban highways.

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

“…First, we assume that the closest distance from points on T to points on S establishes a normally distributed population with an average of m and standard deviation of σ . Accordingly and based on Miller's studies of Freund's statistics [35] used in [36][37][38], the probability indicator z is defined as follows.…”

Optimal Position of Cameras Design in a 4D Foot Scanner

“…Through the explained 3D registration method in [40] which uses a probability function [41][42][43][44], we use seven cleaned frames captured by each camera to reconstruct the foot. According to the method each cleaned data-set is rigidly registered on a reference model to build a rough point-cloud of the foot, then the reference model is non-rigidly registered on the point-cloud to have a meaningful mesh.…”

The Relationship between Consuming Fashion and Self-Confidence on the Buying Behaviour in the Clothing Market as a Mediator

“…From the mid-19th century, a significant expansion of factories in various industries occurred and that caused the expansion of distribution channels, the creation of larger clothing centres, artistic clothing shops, and helped some clothing brands to become internationally and commercially acceptable brands such as Dior, Gucci, Yves Saint Laurent and Chanel [1]. It is essential in the fashion industry to understand consumer behaviour patterns [8]- [10]. Although there are 9266 official clothing retailers and 707 official clothing wholesalers in Tehran's fashion industry, they cannot compete with other brands because they are unaware of the fashion buying behaviour of Iranian consumers.…”

“…From the mid-19th century, a significant expansion of factories in various industries occurred and that caused the expansion of distribution channels, the creation of larger clothing centres, artistic clothing shops, and helped some clothing brands to become internationally and commercially acceptable brands such as Dior, Gucci, Yves Saint Laurent and Chanel [1]. It is essential in the fashion industry to understand consumer behaviour patterns [8,9,10].…”